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researcher

Mark H. Michalski

5 papers hereh-index 121.9k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedFully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks

45 citations · 109 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2019★ 9 cited

DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Jen-Tang Lu, Rupert Brooks, Stefan Hahn +9

We propose a deep learning-based technique for detection and quantification of abdominal aortic aneurysms (AAAs). The condition, which leads to more than 10,000 deaths per year in…

eess.IV2019

4D CNN for semantic segmentation of cardiac volumetric sequences

Andriy Myronenko, Dong Yang, Varun Buch +6

We propose a 4D convolutional neural network (CNN) for the segmentation of retrospective ECG-gated cardiac CT, a series of single-channel volumetric data over time. While only a sm…

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